基于CART决策树的网络问答社区新兴话题识别研究*
程秀峰, 张心怡, 王宁

Identifying Trending Topics in Q&A Community with CART Decision Tree
Cheng Xiufeng,Zhang Xinyi,Wang Ning
表4 预处理的T3问题数据
Title Focus Cohesion Impact Is Order
Tree2.Topic1 109 452 15.91 109 622 1 1
Tree2.Topic2 403128 8.66 97 756 1 8
Tree2.Topic3 14 593 5.26 2 347 1 15
Tree2.Topic4 2 357 3.28 36 327 1 22
Tree2.Topic5 217 4.29 2 751 1 29
Tree2.Topic6 233 3.92 1 178 1 36
Tree2.Topic7 165 4.00 700 1 43
Tree2.Topic8 82 4.36 1 182 1 50
Tree2.Topic9 3 496 1.98 8 874 1 57
Tree2.Topic10 151 2.77 1 156 1 64
Tree2.Topic11 170 3.03 390 1 71
Tree2.Topic12 426 1.82 12 650 1 78
Tree2.Topic13 294 3.46 59 1 85
Tree2.Topic14 135 2.98 246 1 92
Tree2.Topic15 141 2.54 322 1 99